Instructions to use peteryushunli/mt5-small-finetuned-amazon_electronics-en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peteryushunli/mt5-small-finetuned-amazon_electronics-en-es with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peteryushunli/mt5-small-finetuned-amazon_electronics-en-es") model = AutoModelForSeq2SeqLM.from_pretrained("peteryushunli/mt5-small-finetuned-amazon_electronics-en-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from peteryushunli/mt5-small-finetuned-amazon_electronics-en-es: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/peteryushunli/mt5-small-finetuned-amazon_electronics-en-es/resolve/4019aff1e70115ec4c7ec604dd2c5bd0756deb33/training_args.bin
- Command line
-
hf download hf://peteryushunli/mt5-small-finetuned-amazon_electronics-en-es@4019aff1e70115ec4c7ec604dd2c5bd0756deb33/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/peteryushunli/mt5-small-finetuned-amazon_electronics-en-es/resolve/4019aff1e70115ec4c7ec604dd2c5bd0756deb33/training_args.bin
4.22 kB
- Xet hash:
- 3bda806da8a9fe9dd17c3fc7a4f6a641fad6fe76b95890b8ca4b2690a81df51f
- Size of remote file:
- 4.22 kB
- SHA256:
- ec3fe650dafd9b235cdf62b122a225a193dc10c9b7dec31862baf6b98edea197
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